Supervisor-student model in particle swarm optimization. - Yu Liu 035; Zheng Qin; Xingshi He (IEEE Congress on Evolutionary Computation, 2004)

Feature Selection with Particle Swarms. - Yu Liu 035; Zheng Qin; Zenglin Xu; Xingshi He (CIS, 2004)

Training radial basis function networks with differential evolution. - Bing Yu; Xingshi He (GrC, 2006)

A novel binary differential evolution algorithm based on artificial immune system. - Xingshi He; Lin Han (IEEE Congress on Evolutionary Computation, 2007)

A Novel Opposition-Based Particle Swarm Optimization for Noisy Problems. - Lin Han; Xingshi He (ICNC (3), 2007)

Eagle strategy with flower algorithm. - Xin-She Yang 001; Suash Deb; Xingshi He (ICACCI, 2013)

Multi-Objective Flower Algorithm for Optimization. - Xin-She Yang 001; Mehmet Karamanoglu; Xingshi He (ICCS, 2013)

Firefly Algorithm: Recent Advances and Applications. - Xin-She Yang 001; Xingshi He (CoRR, 2013)

Bat algorithm: literature review and applications. - Xin-She Yang 001; Xingshi He (Int. J. Bio Inspired Comput., 2013)

Non-dominated sorting cuckoo search for multiobjective optimization. - Xingshi He; Na Li; Xin-She Yang 001 (SIS, 2014)

Flower Pollination Algorithm: A Novel Approach for Multiobjective Optimization. - Xin-She Yang 001; Mehmet Karamanoglu; Xingshi He (CoRR, 2014)

Bat algorithm based on simulated annealing and Gaussian perturbations. - Xingshi He; Wen-Jing Ding; Xin-She Yang 001 (Neural Comput. Appl., 2014)

A New Compound Kernel Function for SVM. - Yonghua Mao; Xiaolin Gui; Xingshi He; Ying Guo (UIC/ATC/ScalCom, 2015)

Swarm Intelligence and Evolutionary Computation: Overview and Analysis. - Xin-She Yang 001; Xingshi He (Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015)

From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms. - Xin-She Yang 001; Suash Deb; Simon Fong 001; Xingshi He; Yuxin Zhao 001 (Computer, 2016)

Nature-Inspired Optimization Algorithms in Engineering: Overview and Applications. - Xin-She Yang 001; Xingshi He (Nature-Inspired Computation in Engineering, 2016)

Multi-threshold Image Segmentation Method Based on Flower Pollination Algorithm. - Jingjing Xue; Xingshi He; Xinshe Yang; Xiaoying Hao; Feiyue He (BIC-TA, 2017)

Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach. - Xingshi He; Xin-She Yang 001; Mehmet Karamanoglu; Yuxin Zhao 001 (ICCS, 2017)

Smoothing Regularized Extreme Learning Machine. - Qin-Wei Fan; Xingshi He; Xin-She Yang 001 (EANN, 2018)

Why the Firefly Algorithm Works? - Xin-She Yang 001; Xingshi He (CoRR, 2018)

Global convergence analysis of the bat algorithm using a markovian framework and dynamical system theory. - Si Chen; Guo-Hua Peng; Xingshi He; Xin-She Yang 001 (Expert Syst. Appl., 2018)

Swarm intelligence: past, present and future. - Xin-She Yang 001; Suash Deb; Yuxin Zhao 001; Simon Fong 001; Xingshi He (Soft Comput., 2018)

Comparison of Constraint-Handling Techniques for Metaheuristic Optimization. - Xingshi He; Qin-Wei Fan; Mehmet Karamanoglu; Xin-She Yang 001 (ICCS (3), 2019)

White Learning: A White-Box Data Fusion Machine Learning Framework for Extreme and Fast Automated Cancer Diagnosis. - Tengyue Li; Simon Fong 001; Liansheng Liu; Xin-She Yang 001; Xingshi He; Jinan Fiaidhi; Sabah Mohammed (IT Prof., 2019)

Attraction and diffusion in nature-inspired optimization algorithms. - Xin-She Yang 001; Suash Deb; Thomas Hanne; Xingshi He (Neural Comput. Appl., 2019)

An efficient parameter estimation method for nonlinear high-order systems via surrogate modeling and cuckoo search. - Xuefang Lai; Xiaolong Wang; Yufeng Nie 001; Xingshi He (Soft Comput., 2020)

An elitism-based multi-objective evolutionary algorithm for min-cost network disintegration. - Qian Li 041; Sanyang Liu; Yi-Guang Bai; Xingshi He; Xin-She Yang 001 (Knowl. Based Syst., 2022)

Mathematical modeling for mutator phenotype and clonal selection advantage in the risk analysis of lung cancer. - Lingling Li; Ting Zhao; Xingshi He; Xinshe Yang; Tianhai Tian; Xinan Zhang 002 (Theory Biosci., 2022)

An Enhanced Adaptive Differential Evolution Algorithm With Multi-Mutation Schemes and Weighted Control Parameter Setting. - Mengnan Tian; Yanhui Meng; Xingshi He; Qingqing Zhang; Yanghan Gao (IEEE Access, 2023)

Bandwidth Allocation and Trajectory Control in UAV-Assisted IoV Edge Computing Using Multiagent Reinforcement Learning. - Juzhen Wang; Xiaoli Zhang; Xingshi He; Yongqiang Sun (IEEE Trans. Reliab., 2023)

Efficient construction and convergence analysis of sparse convolutional neural networks. - Shuai Zhao; Qinwei Fan; Qingmei Dong; Zhiwei Xing; Xiaofei Yang 004; Xingshi He (Neurocomputing, 2024)

Semi-supervised sparse subspace clustering with manifold regularization. - Zhiwei Xing; Jigen Peng; Xingshi He; Mengnan Tian (Appl. Intell., 2024)

An improved density peaks clustering based on sparrow search algorithm. - Yaru Chen; Jie Zhou; Xingshi He; Xinglong Luo (Clust. Comput., 2024)

Hierarchical bipartite graph based multi-view subspace clustering. - Jie Zhou; Feiping Nie 001; Xinglong Luo; Xingshi He (Inf. Fusion, 2025)

Convergence analysis of a novel high order networks model based on entropy error function. - Qianru Huang; Qinwei Fan; Zhiwei Xing; Xiaofei Yang 004; Xingshi He (Math. Comput. Simul., 2025)